Cover Image

REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xing, Haibo, Deng, Hao, Mao, Yucheng, Mu, Lingyu, Hu, Jinxin, Xu, Yi, Zhang, Hao, Wang, Jiahao, Wang, Shizhun, Zhang, Yu, Zeng, Xiaoyi, Zhang, Jing
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Recommendation Paradigms: From Pipelines to Agentic Recommender Systems
by: Hu, Jinxin, et al.
Published: (2026)

AgenticRS-Architecture: System Design for Agentic Recommender Systems
by: Zhang, Hao, et al.
Published: (2026)

Learning to Reflect and Correct: Towards Better Decoding Trajectories for Large-Scale Generative Recommendation
by: Xing, Haibo, et al.
Published: (2026)

Masked Diffusion Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
by: Deng, Hao, et al.
Published: (2025)

Bridging Sequential and Contextual Features with a Dual-View of Fine-grained Core-Behaviors and Global Interest-Distribution
by: Xu, Yi, et al.
Published: (2026)

LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation
by: Mu, Lingyu, et al.
Published: (2026)

Synergistic Integration and Discrepancy Resolution of Contextualized Knowledge for Personalized Recommendation
by: Mu, Lingyu, et al.
Published: (2025)

ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems
by: Xing, Haibo, et al.
Published: (2025)

RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation
by: Huang, Yulei, et al.
Published: (2026)

SORT: A Systematically Optimized Ranking Transformer for Industrial-scale Recommenders
by: Wang, Chunqi, et al.
Published: (2026)

MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation
by: Xu, Yi, et al.
Published: (2025)

CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval
by: Deng, Hao, et al.
Published: (2025)

STORE: Semantic Tokenization, Orthogonal Rotation and Efficient Attention for Scaling Up Ranking Models
by: Xu, Yi, et al.
Published: (2025)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
by: Fang, Yi, et al.
Published: (2025)

OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)

RecThinker: An Agentic Framework for Tool-Augmented Reasoning in Recommendation
by: Zhang, Haobo, et al.
Published: (2026)

MixRec: Individual and Collective Mixing Empowers Data Augmentation for Recommender Systems
by: Zhang, Yi, et al.
Published: (2025)

RecCoT: Enhancing Recommendation via Chain-of-Thought
by: Yang, Shuo, et al.
Published: (2025)

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System
by: Yang, Xihong, et al.
Published: (2024)

SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation
by: Huang, Lei, et al.
Published: (2025)

RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation
by: Hou, Min, et al.
Published: (2025)

Taming the Long Tail: Denoising Collaborative Information for Robust Semantic ID Generation
by: Xu, Yi, et al.
Published: (2025)

RecRM-Bench: Benchmarking Multidimensional Reward Modeling for Agentic Recommender Systems
by: Zeng, Wenwen, et al.
Published: (2026)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs
by: Wang, Yan, et al.
Published: (2023)

RecExplainer: Aligning Large Language Models for Explaining Recommendation Models
by: Lei, Yuxuan, et al.
Published: (2023)

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)

MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
by: Kong, Xiaoyu, et al.
Published: (2025)

RaSeRec: Retrieval-Augmented Sequential Recommendation
by: Zhao, Xinping, et al.
Published: (2024)

FRONTIER-RevRec: A Large-scale Dataset for Reviewer Recommendation
by: Peng, Qiyao, et al.
Published: (2025)

MaTrRec: Uniting Mamba and Transformer for Sequential Recommendation
by: Zhang, Shun, et al.
Published: (2024)

Scaling Transformers for Discriminative Recommendation via Generative Pretraining
by: Wang, Chunqi, et al.
Published: (2025)

STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)

GPFedRec: Graph-guided Personalization for Federated Recommendation
by: Zhang, Chunxu, et al.
Published: (2023)

LLM-Rec: Personalized Recommendation via Prompting Large Language Models
by: Lyu, Hanjia, et al.
Published: (2023)

RecMind: Large Language Model Powered Agent For Recommendation
by: Wang, Yancheng, et al.
Published: (2023)

Deferred is Better: A Framework for Multi-Granularity Deferred Interaction of Heterogeneous Features
by: Xu, Yi, et al.
Published: (2026)

AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
by: Zhang, Tong
Published: (2025)

RecDCL: Dual Contrastive Learning for Recommendation
by: Zhang, Dan, et al.
Published: (2024)

END4Rec: Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
by: Han, Yongqiang, et al.
Published: (2024)